Results 11 to 20 of about 448 (165)
Bivariate Copula-Based Regression for Joint Modeling of Healthcare Visits. [PDF]
Health EconABSTRACT Doctor and non‐doctor visit frequencies are key indicators of healthcare access, utilization and individual health‐seeking behavior. While doctor visits reflect engagement with formal medical services, non‐doctor visits, such as to nurses, physiotherapists or alternative providers, offer insights into patient preferences and system ...
Marra G, Radice R.
europepmc +2 more sources
Multivariate copulas, quasi-copulas and lattices [PDF]
Statistics & Probability Letters, 2011 We investigate some properties of the partially ordered sets of multivariate copulas and quasi-copulas. Whereas the set of bivariate quasi-copulas is a complete lattice, which is order-isomorphic to the Dedekind-MacNeille completion of the set of bivariate copulas, we show that this is not the case in higher dimensions.
Fernández-Sánchez, Juan +2 more
openaire +3 more sources
Tails of the Moments for Sums with Dominatedly Varying Random Summands
Mathematics, 2021 The asymptotic behaviour of the tail expectation ?E(Snξ)α?{Snξ>x} is investigated, where exponent α is a nonnegative real number and Snξ=ξ1+…+ξn is a sum of dominatedly varying and not necessarily identically distributed random summands, following a ...
Mantas Dirma +2 more
doaj +1 more source
Quasi-copulas and signed measures [PDF]
Fuzzy Sets and Systems, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nelsen, Roger B. +3 more
openaire +2 more sources
Grouped Normal Variance Mixtures
Risks, 2020 Grouped normal variance mixtures are a class of multivariate distributions that generalize classical normal variance mixtures such as the multivariate t distribution, by allowing different groups to have different (comonotone) mixing distributions.
Erik Hintz +2 more
doaj +1 more source
Quadratic transformation of multivariate aggregation functions
Dependence Modeling, 2020 In this work, we prove that quadratic transformations of aggregation functions must come from quadratic aggregation functions. We also show that this is different from quadratic transformations of (multivariate) semi-copulas and quasi-copulas.
Boonmee Prakassawat, Tasena Santi
doaj +1 more source
A Characterization of Quasi-copulas
Journal of Multivariate Analysis, 1999 A function \(Q:[0,1]^2\to[0,1]\) is a quasi-copula if and only if it satisfies the three following conditions: (i) \(Q(0,x)=Q(x,0)=0\), \(Q(x,1)=Q(1,x)=x\), \(x\in[0,1]\); (ii) \(Q(x,y)\) is non-decreasing in each of its arguments; (iii) \(Q\) satisfies a Lipschitz condition. The quasi-copula is comprised between the Fréchet bounds.
C. Genest +3 more
openaire +4 more sources
Differentiating synonyms and adjective subclasses by syntactic profiling
Lexis: Journal in English Lexicology, 2020 Twenty adjectives belonging to five intuitively recognizable semantic families, age (old, young), size (large, small, big), color (black, white, red, yellow, blue), modality (possible, impossible, necessary, likely, sure) and emotion (happy, sad, glad ...
Daniel Henkel
doaj +1 more source
Characterizations of bivariate conic, extreme value, and Archimax copulas [PDF]
, 2017 Based on a general construction method by means of bivariate ultramodular copulas we construct, for particular settings, special bivariate conic, extreme value, and Archimax copulas. We also show that the sets of copulas obtained in this way are dense in
Arias García, José De Jesús +3 more
core +2 more sources
Too Hot, Too Wet: Bayesian Spatial Modeling of Climate-Driven Salmonella Risk in New South Wales, Australia, 1991-2022. [PDF]
GeohealthAbstract Salmonella infections contribute significantly to gastrointestinal‐related hospitalisations in Australia and remain a major global public health concern. Although seasonal patterns in Salmonella incidence have been documented globally, there is limited evidence on the influence of climatic factors, particularly rainfall, humidity, flooding ...
Adegboye OA +6 more
europepmc +2 more sources